Vibromyographic Quantification of Voluntary Isometric Contractile Force in the Brachioradialis
This study investigated the ability of vibromyography (VMG) to accurately represent voluntary forearm muscle contractile force during attempted-isometric contraction of the brachioradialis. VMG signals were collected from the brachioradialis of healthy adult men (mean age, 26.6plusmn9.8 years, N=24)...
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| Veröffentlicht in: | 2006 International Conference of the IEEE Engineering in Medicine and Biology Society 2006, Vol.2006, p.1708-1710 |
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| container_title | 2006 International Conference of the IEEE Engineering in Medicine and Biology Society |
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| creator | Cole, J.P. Madhavan, G. McLeod, K.J. |
| description | This study investigated the ability of vibromyography (VMG) to accurately represent voluntary forearm muscle contractile force during attempted-isometric contraction of the brachioradialis. VMG signals were collected from the brachioradialis of healthy adult men (mean age, 26.6plusmn9.8 years, N=24) during attempted-isometric contraction over a force range of 4.45 N to maximum sustained load. The VMG signals were decomposed using wavelet packet analysis techniques, and the corresponding wavelet packets were utilized in a multiple regression model for parameter reduction and identification of signal components which best correlated to muscle force. It was observed that just two wavelet components were sufficient to accurately predict muscle force (R 2 =0.984, P |
| doi_str_mv | 10.1109/IEMBS.2006.260152 |
| format | Article |
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VMG signals were collected from the brachioradialis of healthy adult men (mean age, 26.6plusmn9.8 years, N=24) during attempted-isometric contraction over a force range of 4.45 N to maximum sustained load. The VMG signals were decomposed using wavelet packet analysis techniques, and the corresponding wavelet packets were utilized in a multiple regression model for parameter reduction and identification of signal components which best correlated to muscle force. It was observed that just two wavelet components were sufficient to accurately predict muscle force (R 2 =0.984, P<0.0001). The signal force relationship observed is monotonic, though quadratic in form. More importantly, the wavelet data was able to predict absolute force output of the brachioradialis without normalization or prior knowledge of a subject's maximum voluntary force. These data show that VMG recordings are capable of providing a monotonic relationship between VMG signal and muscle force. Moreover, in contrast to EMG technology which can only provide relative force levels, VMG appears to be capable of reporting absolute force levels, an observation which is expected to lead to numerous applications in medicine and rehabilitation</description><identifier>ISSN: 1557-170X</identifier><identifier>ISBN: 9781424400324</identifier><identifier>ISBN: 1424400325</identifier><identifier>DOI: 10.1109/IEMBS.2006.260152</identifier><identifier>PMID: 17946062</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Acceleration ; Adult ; Algorithms ; Bone diseases ; Diagnosis, Computer-Assisted - methods ; Elbow ; Electromyography ; Female ; Force measurement ; Humans ; Isometric Contraction - physiology ; Male ; Mechanomyography ; Muscle Force Measurement ; Muscle, Skeletal - physiology ; Muscles ; Protocols ; Signal processing ; Skin ; Stress, Mechanical ; Vibration ; Vibromyography ; Volition - physiology ; Wavelet analysis ; Wavelet packets</subject><ispartof>2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006, Vol.2006, p.1708-1710</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4462101$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,4048,4049,27924,54919</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4462101$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17946062$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cole, J.P.</creatorcontrib><creatorcontrib>Madhavan, G.</creatorcontrib><creatorcontrib>McLeod, K.J.</creatorcontrib><title>Vibromyographic Quantification of Voluntary Isometric Contractile Force in the Brachioradialis</title><title>2006 International Conference of the IEEE Engineering in Medicine and Biology Society</title><addtitle>IEMBS</addtitle><addtitle>Conf Proc IEEE Eng Med Biol Soc</addtitle><description>This study investigated the ability of vibromyography (VMG) to accurately represent voluntary forearm muscle contractile force during attempted-isometric contraction of the brachioradialis. VMG signals were collected from the brachioradialis of healthy adult men (mean age, 26.6plusmn9.8 years, N=24) during attempted-isometric contraction over a force range of 4.45 N to maximum sustained load. The VMG signals were decomposed using wavelet packet analysis techniques, and the corresponding wavelet packets were utilized in a multiple regression model for parameter reduction and identification of signal components which best correlated to muscle force. It was observed that just two wavelet components were sufficient to accurately predict muscle force (R 2 =0.984, P<0.0001). The signal force relationship observed is monotonic, though quadratic in form. More importantly, the wavelet data was able to predict absolute force output of the brachioradialis without normalization or prior knowledge of a subject's maximum voluntary force. These data show that VMG recordings are capable of providing a monotonic relationship between VMG signal and muscle force. Moreover, in contrast to EMG technology which can only provide relative force levels, VMG appears to be capable of reporting absolute force levels, an observation which is expected to lead to numerous applications in medicine and rehabilitation</description><subject>Acceleration</subject><subject>Adult</subject><subject>Algorithms</subject><subject>Bone diseases</subject><subject>Diagnosis, Computer-Assisted - methods</subject><subject>Elbow</subject><subject>Electromyography</subject><subject>Female</subject><subject>Force measurement</subject><subject>Humans</subject><subject>Isometric Contraction - physiology</subject><subject>Male</subject><subject>Mechanomyography</subject><subject>Muscle Force Measurement</subject><subject>Muscle, Skeletal - physiology</subject><subject>Muscles</subject><subject>Protocols</subject><subject>Signal processing</subject><subject>Skin</subject><subject>Stress, Mechanical</subject><subject>Vibration</subject><subject>Vibromyography</subject><subject>Volition - physiology</subject><subject>Wavelet analysis</subject><subject>Wavelet packets</subject><issn>1557-170X</issn><isbn>9781424400324</isbn><isbn>1424400325</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNo9kE9Lw0AQxRdUrNR-ABEkJ2-p-z_J0ZZWCxURtXgybDYTu5Jk6-7m0G_vQqtzeTDvN8ObQeiK4CkhuLhbLZ5mr1OKsZxSiYmgJ2hSZDnhlHOMGeWn6IIIkaUkwx8jNPH-G8diRbTpORqRrOASS3qBPjemcrbb2y-ndlujk5dB9cE0RqtgbJ_YJtnYduiDcvtk5W0HwUVqbvvglA6mhWRpnYbE9EnYQjKL3a2xTtVGtcZforNGtR4mRx2j9-Xibf6Yrp8fVvP7dWpIlpEUQGicVTUXNWeqifGU1FBUuKgYIyKjoiGgCWCR57JRAheaaKUFMOBQgGRjdHvYu3P2ZwAfys54DW2rerCDL2XO4pAUEbw5gkPVQV3unOniaeXfRyJwfQAMAPzbnEtKMGG_kTlvWA</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Cole, J.P.</creator><creator>Madhavan, G.</creator><creator>McLeod, K.J.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>2006</creationdate><title>Vibromyographic Quantification of Voluntary Isometric Contractile Force in the Brachioradialis</title><author>Cole, J.P. ; Madhavan, G. ; McLeod, K.J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1771-ee5c07bd45d43af179a6ce9b09b3315725f1ec1e05886fa509c1cac5e3e4e9e63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Acceleration</topic><topic>Adult</topic><topic>Algorithms</topic><topic>Bone diseases</topic><topic>Diagnosis, Computer-Assisted - methods</topic><topic>Elbow</topic><topic>Electromyography</topic><topic>Female</topic><topic>Force measurement</topic><topic>Humans</topic><topic>Isometric Contraction - physiology</topic><topic>Male</topic><topic>Mechanomyography</topic><topic>Muscle Force Measurement</topic><topic>Muscle, Skeletal - physiology</topic><topic>Muscles</topic><topic>Protocols</topic><topic>Signal processing</topic><topic>Skin</topic><topic>Stress, Mechanical</topic><topic>Vibration</topic><topic>Vibromyography</topic><topic>Volition - physiology</topic><topic>Wavelet analysis</topic><topic>Wavelet packets</topic><toplevel>online_resources</toplevel><creatorcontrib>Cole, J.P.</creatorcontrib><creatorcontrib>Madhavan, G.</creatorcontrib><creatorcontrib>McLeod, K.J.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>2006 International Conference of the IEEE Engineering in Medicine and Biology Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Cole, J.P.</au><au>Madhavan, G.</au><au>McLeod, K.J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Vibromyographic Quantification of Voluntary Isometric Contractile Force in the Brachioradialis</atitle><jtitle>2006 International Conference of the IEEE Engineering in Medicine and Biology Society</jtitle><stitle>IEMBS</stitle><addtitle>Conf Proc IEEE Eng Med Biol Soc</addtitle><date>2006</date><risdate>2006</risdate><volume>2006</volume><spage>1708</spage><epage>1710</epage><pages>1708-1710</pages><issn>1557-170X</issn><isbn>9781424400324</isbn><isbn>1424400325</isbn><abstract>This study investigated the ability of vibromyography (VMG) to accurately represent voluntary forearm muscle contractile force during attempted-isometric contraction of the brachioradialis. VMG signals were collected from the brachioradialis of healthy adult men (mean age, 26.6plusmn9.8 years, N=24) during attempted-isometric contraction over a force range of 4.45 N to maximum sustained load. The VMG signals were decomposed using wavelet packet analysis techniques, and the corresponding wavelet packets were utilized in a multiple regression model for parameter reduction and identification of signal components which best correlated to muscle force. It was observed that just two wavelet components were sufficient to accurately predict muscle force (R 2 =0.984, P<0.0001). The signal force relationship observed is monotonic, though quadratic in form. More importantly, the wavelet data was able to predict absolute force output of the brachioradialis without normalization or prior knowledge of a subject's maximum voluntary force. These data show that VMG recordings are capable of providing a monotonic relationship between VMG signal and muscle force. Moreover, in contrast to EMG technology which can only provide relative force levels, VMG appears to be capable of reporting absolute force levels, an observation which is expected to lead to numerous applications in medicine and rehabilitation</abstract><cop>United States</cop><pub>IEEE</pub><pmid>17946062</pmid><doi>10.1109/IEMBS.2006.260152</doi><tpages>3</tpages></addata></record> |
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| subjects | Acceleration Adult Algorithms Bone diseases Diagnosis, Computer-Assisted - methods Elbow Electromyography Female Force measurement Humans Isometric Contraction - physiology Male Mechanomyography Muscle Force Measurement Muscle, Skeletal - physiology Muscles Protocols Signal processing Skin Stress, Mechanical Vibration Vibromyography Volition - physiology Wavelet analysis Wavelet packets |
| title | Vibromyographic Quantification of Voluntary Isometric Contractile Force in the Brachioradialis |
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